Evidence map›Paper›PMID 36679483›Full record

ReviewSensors (Basel, Switzerland)2023

Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review.

Taylor P Stauffer, Billy I Kim, Caitlin Grant, Samuel B Adams, Albert T Anastasio

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Taylor P StaufferSchool of Medicine, Duke University, Durham, NC 27710, USA.ORCID 0000-0002-4184-0634
Billy I KimSchool of Medicine, Duke University, Durham, NC 27710, USA.ORCID 0000-0002-1519-6566
Caitlin GrantSchool of Medicine, Duke University, Durham, NC 27710, USA.ORCID 0000-0002-8617-775X
Samuel B AdamsDepartmen of Orthopaedic Surgery, Duke University, Durham, NC 27710, USA.
Albert T AnastasioDepartmen of Orthopaedic Surgery, Duke University, Durham, NC 27710, USA.ORCID 0000-0001-5817-3826
Duke University · US

Funding

Duke Endowment Stead Fellowship Endowment Fund for Author Stauffer. No grant number
6 · The paper itself

Abstract

Recent developments in robotic technologies in the field of orthopaedic surgery have largely been focused on higher volume arthroplasty procedures, with a paucity of attention paid to robotic potential for foot and ankle surgery. The aim of this paper is to summarize past and present developments foot and ankle robotics and describe outcomes associated with these interventions, with specific emphasis on the following topics: translational and preclinical utilization of robotics, deep learning and artificial intelligence modeling in foot and ankle, current applications for robotics in foot and ankle surgery, and therapeutic and orthotic-related utilizations of robotics related to the foot and ankle. Herein, we describe numerous recent robotic advancements across foot and ankle surgery, geared towards optimizing intra-operative performance, improving detection of foot and ankle pathology, understanding ankle kinematics, and rehabilitating post-surgically. Future research should work to incorporate robotics specifically into surgical procedures as other specialties within orthopaedics have done, and to further individualize machinery to patients, with the ultimate goal to improve perioperative and post-operative outcomes.

Indexed as

Orthopedic ProceduresRoboticsSurgery, Computer-AssistedAnkleArtificial IntelligenceHumansanklecomputer-assisted surgerydeep learningfootrobotics

Identifiers

PMID36679483
PMCPMC9864483
OpenAlexW4313889689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.